US2019066144A1PendingUtilityA1

Computer system and a computer implemented method for incentivizing a user for payment card usage

Assignee: MASTERCARD INTERNATIONAL INCPriority: Aug 24, 2017Filed: Jul 31, 2018Published: Feb 28, 2019
Est. expiryAug 24, 2037(~11 yrs left)· nominal 20-yr term from priority
G06Q 30/0226G06Q 20/341G06Q 20/405G06Q 30/0238
51
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Claims

Abstract

A computer system for incentivizing a user for payment card usage, includes a memory device configured to store machine-readable instructions and a processor operably connected with the memory device. The processor obtains the machine-readable instructions from the memory device, and is configured by the machine-readable instructions to receive merchant transaction data pertaining to a merchant, determine a first variable from the merchant transaction data, receive user transaction data pertaining to a customer of the merchant, the customer being a user of a payment card, the user transaction data having a card component and a cash component, determine a second variable associated with the card component, from the user transaction data, determine a third variable associated with the cash component, from the user transaction data, and provide one or more rule based incentives to the customer, on a basis of the second variable and the third variable.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 .- 5 . (canceled) 
     
     
         6 . A computer system for incentivizing a user for payment card usage, the computer system comprising:
 a memory device configured to store machine-readable instructions; and   a processor operably connected with the memory device, the processor obtaining the machine-readable instructions from the memory device, and being configured by the machine-readable instructions to:
 receive user transaction data pertaining to a user of a payment card, the user transaction data having a card component and a cash component; 
 determine a first variable associated with the card component, from the user transaction data; 
 determine a second variable associated with the cash component, from the user transaction data; and 
 provide one or more rule based incentives to the user, on a basis of the first variable and the second variable. 
   
     
     
         7 . The computer system of  claim 6 , wherein the user transaction data comprises one or more of:
 user ATM withdrawal data; and   user Point of Sale (POS) data.   
     
     
         8 . The computer system of  claim 6 , wherein the processor is further configured, by the machine-readable instructions, to determine the second variable on the basis of the first variable being higher than a predetermined threshold value. 
     
     
         9 . The computer system of  claim 6 , wherein the user transaction data pertains to a plurality of periods of time and the first variable is a percentage increase in a total periodic card component amount for a period of time during a spike event, compared to a total periodic card component amount for a period of time before the spike event. 
     
     
         10 . The computer system of  claim 6 , wherein the second variable is a total periodic cash component amount for a period of time before a spike event. 
     
     
         11 .- 13 . (canceled) 
     
     
         14 . A computer implemented method for incentivizing a user for payment card usage, the method comprising:
 receiving user transaction data pertaining to a user of a payment card, the user transaction data having a card component and a cash component;   determining a first variable associated with the card component, from the user transaction data, wherein the user transaction data pertains to a plurality of periods of time and the first variable is a percentage increase in a total periodic card component amount for a period of time during a spike event, compared to a total periodic card component amount for a period of time before the spike event;   determining a second variable associated with the cash component, from the user transaction data, wherein the second variable is a total periodic cash component amount for the period of time before the spike event; and   providing one or more rule based incentives to the user, on a basis of the first variable and the second variable.   
     
     
         15 . The computer implemented method of  claim 14 , wherein the user transaction data comprises one or more of:
 user ATM withdrawal data; and   user Point of Sale (POS) data.   
     
     
         16 . The computer implemented method of  claim 14 , wherein the second variable is determined on the basis of the first variable being higher than a predetermined threshold value. 
     
     
         17 . (canceled) 
     
     
         18 . A non-transitory machine-readable medium, including machine-readable instructions stored thereon, which when executed by a processor, cause the processor to:
 receive user transaction data pertaining to a user of a payment card, the user transaction data having a card component and a cash component;   determine a first variable associated with the card component, from the user transaction data;   determine a second variable associated with the cash component, from the user transaction data; and   provide one or more rule based incentives to the user, on a basis of the first variable and the second variable.   
     
     
         19 . (canceled) 
     
     
         20 . The computer system of  claim 6 , wherein the user is a customer of a merchant; and
 wherein the processor is further configured, by the machine-readable instructions, to:
 receive merchant transaction data pertaining to the merchant; and 
 determine a third variable from the merchant transaction data. 
   
     
     
         21 . The computer system of  claim 20 , wherein the merchant transaction data comprises merchant Point of Sale (POS) data pertaining to the merchant. 
     
     
         22 . The computer system of  claim 21 , wherein the merchant POS data pertains to a plurality of periods of time and the third variable is a percentage increase in a total periodic transaction amount, for a period of time during a spike event, compared to a total periodic transaction amount, for a period of time before the spike event. 
     
     
         23 . The computer system of  claim 20 , wherein the processor is further configured, by the machine-readable instructions, to receive the user transaction data on the basis of the third variable being higher than a predetermined threshold value. 
     
     
         24 . The computer system of  claim 20 , wherein the processor is further configured, by the machine-readable instructions, to receive the user transaction data on the basis of the user transaction data meeting a predetermined condition. 
     
     
         25 . The computer implemented method of  claim 14 , wherein the user is a customer of a merchant; the method further comprising:
 receiving merchant transaction data pertaining to the merchant, wherein the merchant transaction data comprises merchant Point of Sale (POS) data pertaining to the merchant; and   determining a third variable from the merchant transaction data, wherein the merchant POS data pertains to a plurality of periods of time and the third variable is a percentage increase in a total periodic transaction amount, for the period of time during the spike event, compared to a total periodic transaction amount, for the period of time before the spike event.   
     
     
         26 . The computer implemented method of  claim 25 , wherein the user transaction data is received on the basis of the third variable being higher than a predetermined threshold value. 
     
     
         27 . The computer implemented method of  claim 25 , wherein the user transaction data is received on the basis of the user transaction data meeting a predetermined condition. 
     
     
         28 . The non-transitory machine-readable medium of  claim 18 , wherein the user is a customer of the merchant; and
 wherein the machine-readable instructions, when executed by a processor, further cause the processor to:
 receive merchant transaction data pertaining to a merchant; and 
 determine a first variable from the merchant transaction data.

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